Prediction of Distant Recurrence Using EndoPredict Among Women with ER


Journal

Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500

Informations de publication

Date de publication:
01 07 2019
Historique:
received: 30 01 2019
revised: 09 04 2019
accepted: 02 05 2019
pubmed: 9 5 2019
medline: 6 8 2020
entrez: 9 5 2019
Statut: ppublish

Résumé

Prognostic molecular assays may aid in treatment decisions for women with estrogen receptor (ER)-positive, HER2-negative breast cancer. The prognostic value of a 12-gene expression assay (EndoPredict) was reevaluated in the combined ABCSG-6/8 cohorts with longer clinical follow-up. EndoPredict (EP; molecular score, EPclin score) was evaluated in women with ER-positive, HER2-negative node-positive and node-negative breast cancer who received 5 years of endocrine therapy only (median follow-up, 9.6 years; Overall, 62.6% of patients had low-risk EPclin scores with significantly improved DRFR relative to high-risk patients (HR, 4.77; 95% CI, 3.37-6.67; This study demonstrates that EPclin can identify patients at low risk for early or late recurrence who may safely forgo adjuvant chemotherapy or extended endocrine therapy, respectively, regardless of nodal status.

Identifiants

pubmed: 31064782
pii: 1078-0432.CCR-19-0376
doi: 10.1158/1078-0432.CCR-19-0376
doi:

Substances chimiques

Antineoplastic Agents, Hormonal 0
Biomarkers, Tumor 0
Receptors, Estrogen 0
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3865-3872

Informations de copyright

©2019 American Association for Cancer Research.

Auteurs

Martin Filipits (M)

Institute of Cancer Research, Department of Medicine I, Breast Health Center and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria. martin.filipits@meduniwien.ac.at.

Peter Dubsky (P)

Klinik St. Anna, Breast Center, Luzern, Switzerland.

Margaretha Rudas (M)

Institute of Cancer Research, Department of Medicine I, Breast Health Center and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.

Richard Greil (R)

III Medical Department, Salzburg Cancer Research Institute, Cancer Cluster Salzburg, Paracelsus Medical University Salzburg, Salzburg, Austria.

Marija Balic (M)

Department of Internal Medicine, Division of Oncology, Medical University Graz, Graz, Austria.

Zsuzsanna Bago-Horvath (Z)

Department of Pathology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.

Christian F Singer (CF)

Department of Gynecology, Breast Health Center and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.

Dominik Hlauschek (D)

Clinical Statistics, Austrian Breast and Colorectal Cancer Study Group, Vienna, Austria.

Krystal Brown (K)

Myriad Genetics, Inc., Salt Lake City, Utah.

Ryan Bernhisel (R)

Myriad Genetics, Inc., Salt Lake City, Utah.

Ralf Kronenwett (R)

Myriad International GmbH, Cologne, Germany.

Johnathan M Lancaster (JM)

Myriad Genetics, Inc., Salt Lake City, Utah.

Florian Fitzal (F)

Department of Surgery, Medical University Vienna, Vienna, Austria.

Michael Gnant (M)

Department of Surgery, Medical University Vienna, Vienna, Austria.

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Classifications MeSH